Objective: Architectural distortion without a sonographic correlate is an indication for digital breast tomosynthesis-guided vacuum-assisted biopsy (DBT-VAB). However, when the finding is not visualized on the day of biopsy, the procedure is canceled. This study reports the outcomes of canceled DBT-VAB of architectural distortion due to nonvisualization.
Methods: In this IRB-approved retrospective study, chart review was performed to identify DBT-VABs of architectural distortion at our institution between June 1, 2017, and November 1, 2020, that were canceled because of nonvisualization at the time of biopsy. Cases without follow-up imaging were excluded. Statistical analysis, including the frequency of cases yielding malignancy by the end of the study period, was performed.
Results: In total, 7.2% (39/544) of architectural distortions recommended for biopsy during the study period were canceled because of nonvisualization, 30 of which had follow-up imaging and were included in the study. Mean patient age was 56 years (standard deviation [SD], 9.6 years) and mean follow-up time was 26.7 months (SD, 11.2 months; range, 8.4-50.9 months). During the follow-up period, 16.7% (5/30) underwent repeat biopsy attempt, with one malignant result (1/30, 3.3%; SD, 18%; 95% confidence interval: 0.6%-16.7%). In total, 86.7% (26/30) of cases were declared benign during the follow-up period and 10% (3/30) remained stable with a BI-RADS 3 assessment category.
Conclusion: During available follow-up, there was a low likelihood that distortions not visualized at the time of DBT-VAB represented malignancy (3.3%, 1/30). While this low malignancy rate is reassuring, imaging follow-up is warranted.
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http://dx.doi.org/10.1093/jbi/wbac038 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
College of Materials Science and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, P. R. China.
Cobalt-based oxides have attracted significant attention as p-type thermoelectric materials due to their wide operational temperature range. However, their low average figure of merit () value has hindered service performance. A series of cation vacancies as Ca-active sites were introduced into CaCoO (0 ≤ ≤ 0.
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From the Washington University School of Medicine, Mallinckrodt Institute of Radiology, 510 S Kingshighway Blvd, St. Louis, MO 63110.
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January 2025
Department of Chemistry, KU Leuven, Biomolecular Architecture, Celestijnenlaan 200F, Leuven (Heverlee), B-3001, Belgium.
Two novel complexes, [Cu()Cl] and [Zn()Cl], were synthesized from 1,1'-[(3-fluoro-phen-yl)methyl-ene]bis-[3-(3-fluoro-phen-yl)imidazo[1,5-]pyridine] (), and copper(II) and zinc(II) chloride, respectively. The structures of these complexes were confirmed using ESI-MS, IR and H NMR spectra. The results reveal mononuclear structures in which the central metal atoms are coordinated by two N atoms from the imidazole rings and two Cl ligands.
View Article and Find Full Text PDFSci Adv
January 2025
College of Energy Materials and Chemistry, Inner Mongolia University, Hohhot 010021, China.
Hydrides in metal complexes or nanoclusters are typically viewed as electron-withdrawing. Several recent reports have demonstrated the emergence of "electron-donating" hydrides in tailoring the structure, electronic structure, and reactivity of metal nanoclusters. However, the number of such hydrides included in each cluster kernel is limited to one or two.
View Article and Find Full Text PDFBrain Sci
December 2024
Neuroinformatics Laboratory (NiLab), Bruno Kessler Foundation (FBK), 39123 Trento, Italy.
In glioma surgery, maximizing the extent of resection while preserving cognitive functions requires an understanding of the unique architecture of the white matter (WM) pathways of the single patient and of their spatial relationship with the tumor. Tractography enables the reconstruction of WM pathways, and bundle segmentation allows the identification of critical connections for functional preservation. This study evaluates the effectiveness of a streamline-based approach for bundle segmentation on a clinical dataset as compared to the traditional ROI-based approach.
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